A semi-supervised approach based on evolving clusters for discovering unknown abnormal condition patterns in gearboxes.
Mariela CerradaRené-Vinicio SánchezDiego CabreraPublished in: J. Intell. Fuzzy Syst. (2018)
Keyphrases
- semi supervised
- clustering algorithm
- semi supervised clustering algorithm
- discovering interesting
- semi supervised learning
- pairwise
- similar patterns
- pattern mining
- discovering patterns
- constrained clustering
- pairwise constraints
- fuzzy clustering
- supervised learning
- sufficient conditions
- data mining
- abnormal patterns
- data points
- input patterns
- unsupervised learning
- hierarchical clustering
- cluster analysis
- neural network
- anomaly detection
- document clustering
- pattern discovery
- sequential patterns
- abnormal events
- active learning
- market basket analysis
- learning algorithm
- unlabeled data
- labeled data